| Literature DB >> 20144321 |
Abstract
The genetic risk for diabetes largely depends on the type of diabetes and the penetrance and severity of the effect of the contributing genes. This ranges from the high-risk mutations of neonatal diabetes and maturityonset diabetes of the young to the lower, but still significant, risk conferred by common human leukocyte antigen alleles in type 1 diabetes to the still-lower risk conferred by the common variants associated with type 2 diabetes. There are many new molecular technologies, each with their own set of methodological issues, that have been used for genome-wide association studies and that can be used for determining the genetic risk for these various types of diabetes. These technologies include whole genome single nucleotide polymorphism microarrays, high-throughput polymorphism analyzers, next-generation sequencers, and copy-number variant technologies. Copyright 2009 Diabetes Technology Society.Entities:
Mesh:
Year: 2009 PMID: 20144321 PMCID: PMC2769982 DOI: 10.1177/193229680900300419
Source DB: PubMed Journal: J Diabetes Sci Technol ISSN: 1932-2968